The Climate Modelling Toolkit | Zendy

Joy Merwin Monteiro | Zendy; Rodrigo Caballero | Zendy

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The Climate Modelling Toolkit

Author(s) -

Joy Merwin Monteiro,

Rodrigo Caballero

Publication year - 2016

Publication title -

proceedings of the python in science conferences

Language(s) - English

Resource type - Conference proceedings

ISSN - 2575-9752

DOI - 10.25080/majora-629e541a-00a

Subject(s) - python (programming language) , computer science , climate model , software engineering , software , programming language , climate science , data science , climate change , ecology , biology

The Climate Modelling Toolkit (CliMT) is a Python-based software component toolkit providing a flexible problem-solving environment for climate science problems. It aims to simplify the development of models of complexity ’appropriate’ to the scientific question at hand. This aim is achieved by providing Python-level access to components commonly used in climate models (such as radiative transfer models and dynamical cores) and using the expressive data structures available in Python to access and combine these components. This paper describes the motivation behind developing CliMT, and serves as an introduction to interested users and developers.

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